Triple

T20314271
Position Surface form Disambiguated ID Type / Status
Subject DB Cargo E510339 entity
Predicate parentOrganization P254 FINISHED
Object Deutsche Bahn NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Deutsche Bahn | Statement: [DB Cargo, parentOrganization, Deutsche Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsche Bahn
Context triple: [DB Cargo, parentOrganization, Deutsche Bahn]
  • A. Deutsche Bahn chosen
    Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
  • B. Deutsche Bundesbahn
    Deutsche Bundesbahn was the state-owned railway company of West Germany, responsible for operating the country’s national rail services from 1949 until its reorganization into Deutsche Bahn in the 1990s.
  • C. Deutsche Reichsbahn
    Deutsche Reichsbahn was the state-owned railway company of Germany for much of the 20th century, operating the national rail network before its functions were absorbed into the modern Deutsche Bahn.
  • D. Südostbahn
    Südostbahn is a Swiss railway company that operates regional and suburban train services, including lines within the Zürich S-Bahn network.
  • E. ÖBB
    ÖBB is Austria’s national railway company, operating most of the country’s passenger and freight train services across domestic and international routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67745e2448190b5611382fe338bb2 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.